Categories

All (12)

Agriculture (1)

Biophysics (1)

CNN (1)

CNN-LSTM (1)

Clustering (1)

Computer vision (2)

Cross Labs AI (1)

Deep learning (5)

Drug synergy (1)

Foundation models (3)

Genomics (3)

Healthcare (4)

Hugging Face (1)

Industry (2)

Knowledge-based (1)

LLM (5)

LLaVA (1)

LMM (2)

LSTM (1)

ML+X (8)

Medical imaging (1)

Model sharing (1)

Multidisciplinary (3)

Multimodal learning (3)

Physics (1)

Playlists (3)

Protein engineering (1)

Protein language models (1)

SILO (2)

Science communication (1)

Simulations (2)

Text mining (1)

Time-series (1)

Transfer learning (1)

UW-Madison (3)

Ultrasound (1)

VLM (1)

Applications

Discover a curated collection of blogs, papers, and talks which dive into ML applications and lessons learned by practitioners.

A Biophysics-based Protein Language Model for Protein Engineering

Cross Labs AI

Transfer learning

Biophysics

Protein language models

Foundation models

LLM

Deep learning

Protein engineering

Simulations

We introduce Mutational Effect Transfer Learning (METL), a specialized protein language model that bridges the gap between traditional biophysics-based and machine learning approaches by incorporating synthetic data from molecular simulations.

Sam Gelman, PhD

Advancing Healthcare and Agriculture through Computer Vision

ML+X

Computer vision

Ultrasound

Medical imaging

Agriculture

LSTM

CNN-LSTM

CNN

Deep learning

1. An ultrasound-based method to measure knee kinematics enabled by deep learning
2. Plant breeding in the age of computer vision

Matthew Blomquist, Will de la Bretonne

Exploring Model Sharing in the Age of Foundation Models

ML+X

Multimodal learning

Foundation models

Model sharing

Hugging Face

LLM

LMM

LLaVA

Deep learning

1. Model sharing and reproducible ML
2. LLaVA-NeXT and model sharing

Chris Endemann, Haotian Liu, PhD

Navigating Gravitational Waves with AI Insights

ML+X

Physics

Simulations

1. Welcome and small group discussions
2. Classifying gravitational wave modes from core-collapse supernovae

Chris Endemann, Bella Finkel

Exploring Science Communication and Drug Synergy Analysis using GPT

ML+X

Science communication

Healthcare

Drug synergy

LLM

Text mining

1. GPT for Science Communication: User-Interface and Developer Pipeline Approaches
2. Advancing Biomedical Research with GPT-4: A Novel Approach to Drug Synergy Analysis using Text Mining and Classification

Ben Rush, PhD, Jack Freeman

World Knowledge in the Time of Large Models

SILO

VLM

LLM

LMM

Multimodal learning

Foundation models

Knowledge-based

This talk will discuss the massive shift that has come about in the vision and ML community as a result of the large pre-trained language and language and vision models such as Flamingo, GPT-4, and other models.

Kenneth Marino, PhD

LLMS in Genomic and Health Coaching

ML+X

Healthcare

Clustering

Deep learning

LLM

Genomics

1. Clustering of genomic sequences of mycoviruses using deep learning
2. Spurring self-improvement and intrinsic motivation using LLMs and reinforcement learning

Rohan Sontahlia, Michael Roytman

Time-Series Analysis

ML+X

Time-series

Genomics

Healthcare

1. Computational Methods for Comparative Time Clocks in Early Development and Tissue Regeneration
2. Controlled Differential Equations on Long Sequences via Non-standard Wavelets

Peng Jiang, PhD, Sourav Pal

Multimodal Learning

ML+X

Multimodal learning

Deep learning

Computer vision

Healthcare

Genomics

1. Multimodal learning and analysis for understanding single-cell functional genomics in brains and brain diseases
2. Transforming healthcare: AI-enhanced disease quantification with vision-language models
3. The benefits of early fusion: deeply integrated audio-visual representation learning

Daifeng Wang, PhD, Zachary Huemann, Pedro Morgado, PhD

Exploring AI at UW-Madison

Multidisciplinary

UW-Madison

Playlists

A summer 2023 webinar series sponsored by the Division of Information Technology and the Data Science Institute.

ML+X Forum

ML+X

Multidisciplinary

UW-Madison

Industry

Playlists

Each monthly ML+X forum highlights two ML applications that share a theme followed by communal discussions and project feedback.

SILO

SILO

Multidisciplinary

UW-Madison

Industry

Playlists

The SILO research group at the University of Wisconsin-Madison hosts a weekly seminar that covers a variety of topics related to machine learning, optimization, and information theory